Traffic congestion affects quality of life by inducing frustration and wasting time. The
congestion is also critical to vehicles with high emergencies such as ambulances or police …

Intelligent transportation systems require the knowledge of current and forecasted traffic
states for effective control of road networks. The actual traffic state has to be estimated as the …

Traffic is one of the urban phenomena that have been attracting substantial interest in
different scientific and industrial communities since many decades. Indeed, traffic …

Traffic prediction approaches face challenges when presented with sparse or missing data.
This can be caused by numerous factors such as: i) sensors not being operational; ii) …

Existing traffic flow models do not consider the effects of road static bottlenecks on traffic
flow. In this paper, a modified macroscopic continuum model for traffic flow on urban road …

Traffic flow forecasting is an important strategy for reducing congestion in Intelligent
Transport Systems (ITS). According to many kinds of literature, there are several methods of …

Traffic congestion affects quality of life by inducing frustration and wasting time. The
congestion is also critical to vehicles with high emergencies such as ambulances or police …

The ever-increasing urban population and vehicular traffic without a corresponding
expansion of infrastructure have been a challenge to transportation facilities managers and …

Intelligent transportation systems require the knowledge of current and forecasted traffic
states for effective control of road networks. The actual traffic state has to be estimated as the …